Michael D. Greenfield

6.6k total citations
131 papers, 4.5k citations indexed

About

Michael D. Greenfield is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Developmental Biology. According to data from OpenAlex, Michael D. Greenfield has authored 131 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Ecology, Evolution, Behavior and Systematics, 70 papers in Genetics and 30 papers in Developmental Biology. Recurrent topics in Michael D. Greenfield's work include Plant and animal studies (86 papers), Animal Behavior and Reproduction (85 papers) and Insect and Arachnid Ecology and Behavior (67 papers). Michael D. Greenfield is often cited by papers focused on Plant and animal studies (86 papers), Animal Behavior and Reproduction (85 papers) and Insect and Arachnid Ecology and Behavior (67 papers). Michael D. Greenfield collaborates with scholars based in United States, France and United Kingdom. Michael D. Greenfield's co-authors include Yikweon Jang, Rafael L. Rodrı́guez, Todd E. Shelly, Wayne A. Snedden, Robert D. Collins, Michael K. Tourtellot, Robert L. Minckley, A. Stanley Rand, Marc Branham and Hayward G. Spangler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Michael D. Greenfield

125 papers receiving 4.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Greenfield United States 37 3.8k 2.0k 1.2k 585 527 131 4.5k
Candy Rowe United Kingdom 34 2.9k 0.8× 920 0.5× 647 0.5× 503 0.9× 536 1.0× 66 3.8k
Reginald B. Cocroft United States 31 2.5k 0.6× 1.3k 0.7× 595 0.5× 661 1.1× 664 1.3× 69 3.1k
Ronald R. Hoy United States 45 4.0k 1.0× 1.9k 0.9× 1.3k 1.1× 613 1.0× 440 0.8× 118 5.9k
Elizabeth A. Tibbetts United States 34 2.9k 0.8× 2.0k 1.0× 469 0.4× 534 0.9× 291 0.6× 96 3.7k
Rafael L. Rodrı́guez United States 28 2.5k 0.7× 1.5k 0.7× 276 0.2× 506 0.9× 364 0.7× 94 3.0k
Eileen A. Hebets United States 38 4.1k 1.1× 2.7k 1.3× 1.1k 0.9× 221 0.4× 903 1.7× 145 5.1k
Otto von Helversen Germany 45 4.3k 1.1× 884 0.4× 1.5k 1.2× 237 0.4× 235 0.4× 96 5.0k
Darryl Gwynne Canada 38 4.6k 1.2× 2.6k 1.3× 235 0.2× 869 1.5× 358 0.7× 118 5.2k
Winston J. Bailey Australia 30 2.1k 0.5× 892 0.5× 495 0.4× 307 0.5× 197 0.4× 81 2.4k
Janette W. Boughman United States 27 2.8k 0.7× 1.7k 0.8× 767 0.6× 128 0.2× 619 1.2× 62 4.0k

Countries citing papers authored by Michael D. Greenfield

Since Specialization
Citations

This map shows the geographic impact of Michael D. Greenfield's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael D. Greenfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Greenfield more than expected).

Fields of papers citing papers by Michael D. Greenfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Greenfield. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael D. Greenfield. The network helps show where Michael D. Greenfield may publish in the future.

Co-authorship network of co-authors of Michael D. Greenfield

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Greenfield. A scholar is included among the top collaborators of Michael D. Greenfield based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. Greenfield. Michael D. Greenfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Greenfield, Michael D., et al.. (2025). A cooperatively breeding mouse shows flexible use of its vocal repertoire according to social context. Behavioural Brain Research. 486. 115575–115575. 1 indexed citations
2.
Blanchard, Martin, et al.. (2025). Ultrasonic signals support a large-scale communication landscape in wild mice. Current Biology. 35(19). 4837–4844.e4.
3.
Campos, Zilca, et al.. (2022). Spatial release from masking in crocodilians. Communications Biology. 5(1). 869–869. 4 indexed citations
4.
Greenfield, Michael D., et al.. (2021). Rhythm interaction in animal groups: selective attention in communication networks. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1835). 20200338–20200338. 22 indexed citations
5.
Reid, Andrew, et al.. (2016). Evolution of directional hearing in moths via conversion of bat detection devices to asymmetric pressure gradient receivers. Proceedings of the National Academy of Sciences. 113(48). E7740–E7748. 6 indexed citations
6.
Greenfield, Michael D., et al.. (2016). Characterization of 16 novel microsatellite loci for Ephippiger diurnus (Orthoptera: Tettigoniidae) using pyrosequencing technology and cross-species amplification. European Journal of Entomology. 113. 302–306. 3 indexed citations
8.
Rebar, Darren, et al.. (2015). Acoustic experience influences male and female pre- and postcopulatory behaviors in a bushcricket. Behavioral Ecology. 27(2). 434–443. 17 indexed citations
9.
Greenfield, Michael D.. (2014). Signal interactions and interference in insect choruses: singing and listening in the social environment. Journal of Comparative Physiology A. 201(1). 143–154. 45 indexed citations
10.
Greenfield, Michael D., Robert G. Danka, Jennifer M. Gleason, Bethany Harris, & Yue Zhou. (2012). Genotype × environment interaction, environmental heterogeneity and the lek paradox. Journal of Evolutionary Biology. 25(4). 601–613. 9 indexed citations
11.
Greenfield, Michael D., et al.. (2012). Chronological vs. Physiological Age as Determinants of Mating Decisions: Studies on Female Choice Over Lifespan in An Acoustic Moth. Ethology. 118(8). 740–751. 15 indexed citations
12.
Greenfield, Michael D. & Johannes Schul. (2008). Mechanisms and evolution of synchronous chorusing: Emergent properties and adaptive functions in Neoconocephalus katydids (Orthoptera: Tettigoniidae).. Journal of comparative psychology. 122(3). 289–297. 40 indexed citations
13.
Greenfield, Michael D., et al.. (2008). Female arctiid moths, Utetheisa ornatrix, orient towards and join pheromonal choruses. Animal Behaviour. 75(2). 673–680. 10 indexed citations
15.
Park, Kye Chung, et al.. (2007). Perception of Conspecific Female Pheromone Stimulates Female Calling in an Arctiid Moth, Utetheisa ornatrix. Journal of Chemical Ecology. 33(6). 1257–71. 15 indexed citations
16.
Greenfield, Michael D., et al.. (2002). Acoustic orientation via sequential comparison in an ultrasonic moth. Die Naturwissenschaften. 89(8). 376–380. 8 indexed citations
18.
Reinhold, Klaus, Michael D. Greenfield, Yikweon Jang, & Alberto B. Broce. (1998). Energetic cost of sexual attractiveness: ultrasonic advertisement in wax moths. Animal Behaviour. 55(4). 905–913. 63 indexed citations
19.
Greenfield, Michael D.. (1988). Interspecific acoustic interactions among katydids Neoconocephalus: inhibition-induced shifts in diel periodicity. Animal Behaviour. 36(3). 684–695. 91 indexed citations
20.
Greenfield, Michael D. & M. G. Karandinos. (1979). New Species Of Paranthrene (Lepidoptera, Sesiidae). Biodiversity Heritage Library (Smithsonian Institution). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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